Overview

Dataset statistics

Number of variables25
Number of observations56000
Missing cells229986
Missing cells (%)16.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 MiB
Average record size in memory200.0 B

Variable types

Categorical1
Numeric24

Alerts

Applicant_ID has a high cardinality: 56000 distinct values High cardinality
form_field1 is highly correlated with form_field3 and 2 other fieldsHigh correlation
form_field3 is highly correlated with form_field5High correlation
form_field6 is highly correlated with form_field16 and 5 other fieldsHigh correlation
form_field7 is highly correlated with form_field10High correlation
form_field8 is highly correlated with form_field1 and 3 other fieldsHigh correlation
form_field9 is highly correlated with form_field8 and 1 other fieldsHigh correlation
form_field10 is highly correlated with form_field7 and 1 other fieldsHigh correlation
form_field12 is highly correlated with form_field13High correlation
form_field13 is highly correlated with form_field10High correlation
form_field16 is highly correlated with form_field17 and 1 other fieldsHigh correlation
form_field17 is highly correlated with form_field16 and 3 other fieldsHigh correlation
form_field18 is highly correlated with form_field16 and 3 other fieldsHigh correlation
form_field19 is highly correlated with form_field17 and 2 other fieldsHigh correlation
form_field20 is highly correlated with form_field17 and 2 other fieldsHigh correlation
form_field21 is highly correlated with form_field22 and 1 other fieldsHigh correlation
form_field22 is highly correlated with form_field21 and 1 other fieldsHigh correlation
form_field23 is highly correlated with form_field21 and 1 other fieldsHigh correlation
form_field24 is highly correlated with form_field19 and 4 other fieldsHigh correlation
form_field5 is highly correlated with form_field3High correlation
form_field1 has 2529 (4.5%) missing values Missing
form_field2 has 3844 (6.9%) missing values Missing
form_field6 has 13360 (23.9%) missing values Missing
form_field7 has 5163 (9.2%) missing values Missing
form_field8 has 13360 (23.9%) missing values Missing
form_field9 has 8008 (14.3%) missing values Missing
form_field11 has 31421 (56.1%) missing values Missing
form_field12 has 9895 (17.7%) missing values Missing
form_field13 has 5889 (10.5%) missing values Missing
form_field15 has 22475 (40.1%) missing values Missing
form_field16 has 13036 (23.3%) missing values Missing
form_field17 has 11151 (19.9%) missing values Missing
form_field18 has 10402 (18.6%) missing values Missing
form_field21 has 15854 (28.3%) missing values Missing
form_field22 has 20400 (36.4%) missing values Missing
form_field23 has 28123 (50.2%) missing values Missing
form_field24 has 13297 (23.7%) missing values Missing
form_field7 is highly skewed (γ1 = 36.55604546) Skewed
form_field13 is highly skewed (γ1 = 53.66765836) Skewed
form_field14 is highly skewed (γ1 = 118.5474777) Skewed
form_field24 is highly skewed (γ1 = 30.44013754) Skewed
Applicant_ID is uniformly distributed Uniform
Applicant_ID has unique values Unique
form_field2 has 4453 (8.0%) zeros Zeros
form_field3 has 25728 (45.9%) zeros Zeros
form_field4 has 47900 (85.5%) zeros Zeros
form_field5 has 50322 (89.9%) zeros Zeros
form_field6 has 7454 (13.3%) zeros Zeros
form_field7 has 2083 (3.7%) zeros Zeros
form_field8 has 1772 (3.2%) zeros Zeros
form_field10 has 7190 (12.8%) zeros Zeros
form_field12 has 3583 (6.4%) zeros Zeros
form_field13 has 9016 (16.1%) zeros Zeros
form_field14 has 1446 (2.6%) zeros Zeros
form_field16 has 35943 (64.2%) zeros Zeros
form_field17 has 36859 (65.8%) zeros Zeros
form_field18 has 37265 (66.5%) zeros Zeros
form_field19 has 33598 (60.0%) zeros Zeros
form_field20 has 31471 (56.2%) zeros Zeros
form_field22 has 5205 (9.3%) zeros Zeros
form_field23 has 4785 (8.5%) zeros Zeros
form_field24 has 3262 (5.8%) zeros Zeros

Reproduction

Analysis started2022-10-20 13:50:59.330123
Analysis finished2022-10-20 13:55:24.709351
Duration4 minutes and 25.38 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

Applicant_ID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct56000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size437.6 KiB
Apcnt_1070960
 
1
Apcnt_1102324
 
1
Apcnt_957156
 
1
Apcnt_1175268
 
1
Apcnt_1090040
 
1
Other values (55995)
55995 

Length

Max length13
Median length13
Mean length12.74910714
Min length12

Characters and Unicode

Total characters713950
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56000 ?
Unique (%)100.0%

Sample

1st rowApcnt_1000000
2nd rowApcnt_1000004
3rd rowApcnt_1000008
4th rowApcnt_1000012
5th rowApcnt_1000016

Common Values

ValueCountFrequency (%)
Apcnt_10709601
 
< 0.1%
Apcnt_11023241
 
< 0.1%
Apcnt_9571561
 
< 0.1%
Apcnt_11752681
 
< 0.1%
Apcnt_10900401
 
< 0.1%
Apcnt_12142321
 
< 0.1%
Apcnt_10106041
 
< 0.1%
Apcnt_11668121
 
< 0.1%
Apcnt_11911441
 
< 0.1%
Apcnt_9490601
 
< 0.1%
Other values (55990)55990
> 99.9%

Length

2022-10-20T14:55:32.763186image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
apcnt_10709601
 
< 0.1%
apcnt_10409641
 
< 0.1%
apcnt_12294161
 
< 0.1%
apcnt_11492641
 
< 0.1%
apcnt_10993601
 
< 0.1%
apcnt_10246601
 
< 0.1%
apcnt_12086361
 
< 0.1%
apcnt_11375641
 
< 0.1%
apcnt_11928081
 
< 0.1%
apcnt_10949361
 
< 0.1%
Other values (55990)55990
> 99.9%

Most occurring characters

ValueCountFrequency (%)
180441
11.3%
A56000
 
7.8%
p56000
 
7.8%
c56000
 
7.8%
n56000
 
7.8%
t56000
 
7.8%
_56000
 
7.8%
051761
 
7.2%
243067
 
6.0%
935127
 
4.9%
Other values (6)167554
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number377950
52.9%
Lowercase Letter224000
31.4%
Uppercase Letter56000
 
7.8%
Connector Punctuation56000
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
180441
21.3%
051761
13.7%
243067
11.4%
935127
9.3%
634407
9.1%
434375
9.1%
834316
9.1%
322704
 
6.0%
520902
 
5.5%
720850
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
p56000
25.0%
c56000
25.0%
n56000
25.0%
t56000
25.0%
Uppercase Letter
ValueCountFrequency (%)
A56000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_56000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common433950
60.8%
Latin280000
39.2%

Most frequent character per script

Common
ValueCountFrequency (%)
180441
18.5%
_56000
12.9%
051761
11.9%
243067
9.9%
935127
8.1%
634407
7.9%
434375
7.9%
834316
7.9%
322704
 
5.2%
520902
 
4.8%
Latin
ValueCountFrequency (%)
A56000
20.0%
p56000
20.0%
c56000
20.0%
n56000
20.0%
t56000
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII713950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180441
11.3%
A56000
 
7.8%
p56000
 
7.8%
c56000
 
7.8%
n56000
 
7.8%
t56000
 
7.8%
_56000
 
7.8%
051761
 
7.2%
243067
 
6.0%
935127
 
4.9%
Other values (6)167554
23.5%

form_field1
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct449
Distinct (%)0.8%
Missing2529
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean3491.795665
Minimum2990
Maximum3900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:33.216182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2990
5-th percentile3184
Q13358
median3484
Q33620
95-th percentile3824
Maximum3900
Range910
Interquartile range (IQR)262

Descriptive statistics

Standard deviation188.4624264
Coefficient of variation (CV)0.05397292525
Kurtosis-0.6137862183
Mean3491.795665
Median Absolute Deviation (MAD)130
Skewness0.1204580689
Sum186709806
Variance35518.08617
MonotonicityNot monotonic
2022-10-20T14:55:33.520180image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3472318
 
0.6%
3488311
 
0.6%
3518304
 
0.5%
3502293
 
0.5%
3474277
 
0.5%
3514270
 
0.5%
3456270
 
0.5%
3424269
 
0.5%
3378265
 
0.5%
3440261
 
0.5%
Other values (439)50633
90.4%
(Missing)2529
 
4.5%
ValueCountFrequency (%)
29901
 
< 0.1%
29941
 
< 0.1%
29982
< 0.1%
30001
 
< 0.1%
30041
 
< 0.1%
30081
 
< 0.1%
30103
< 0.1%
30122
< 0.1%
30161
 
< 0.1%
30201
 
< 0.1%
ValueCountFrequency (%)
3900185
0.3%
389826
 
< 0.1%
389622
 
< 0.1%
389434
 
0.1%
389225
 
< 0.1%
389035
 
0.1%
388823
 
< 0.1%
388641
 
0.1%
388435
 
0.1%
388241
 
0.1%

form_field2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct20015
Distinct (%)38.4%
Missing3844
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean0.5507368491
Minimum0
Maximum18.01505
Zeros4453
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:33.960181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0707875
median0.267575
Q30.7195125
95-th percentile1.9649375
Maximum18.01505
Range18.01505
Interquartile range (IQR)0.648725

Descriptive statistics

Standard deviation0.8209791851
Coefficient of variation (CV)1.490692309
Kurtosis34.35300741
Mean0.5507368491
Median Absolute Deviation (MAD)0.23575
Skewness4.299532086
Sum28724.2311
Variance0.6740068224
MonotonicityNot monotonic
2022-10-20T14:55:34.271183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04453
 
8.0%
0.68005181
 
0.3%
0.09505171
 
0.3%
0.19505153
 
0.3%
0.06505149
 
0.3%
0.19005146
 
0.3%
0.04755141
 
0.3%
0.0634139
 
0.2%
0.29255138
 
0.2%
0.09755137
 
0.2%
Other values (20005)46348
82.8%
(Missing)3844
 
6.9%
ValueCountFrequency (%)
04453
8.0%
0.00131
 
< 0.1%
0.00141
 
< 0.1%
0.001551
 
< 0.1%
0.001954
 
< 0.1%
0.002151
 
< 0.1%
0.00222
 
< 0.1%
0.00231
 
< 0.1%
0.002353
 
< 0.1%
0.002553
 
< 0.1%
ValueCountFrequency (%)
18.015051
< 0.1%
14.236351
< 0.1%
14.026451
< 0.1%
12.856451
< 0.1%
12.370051
< 0.1%
12.35361
< 0.1%
12.23171
< 0.1%
12.210651
< 0.1%
12.138651
< 0.1%
12.12481
< 0.1%

form_field3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct14617
Distinct (%)26.3%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.052225041
Minimum0
Maximum57.3716
Zeros25728
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:34.686715image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.062
Q31.282
95-th percentile5.17856
Maximum57.3716
Range57.3716
Interquartile range (IQR)1.282

Descriptive statistics

Standard deviation2.147767914
Coefficient of variation (CV)2.04116784
Kurtosis33.55653924
Mean1.052225041
Median Absolute Deviation (MAD)0.062
Skewness4.233351065
Sum58551.0624
Variance4.612907013
MonotonicityNot monotonic
2022-10-20T14:55:34.966300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025728
45.9%
1.5828238
 
0.4%
1.4132186
 
0.3%
0.104154
 
0.3%
1.1776145
 
0.3%
0.06144
 
0.3%
0.0402143
 
0.3%
0.09136
 
0.2%
1.1872134
 
0.2%
0.0636124
 
0.2%
Other values (14607)28513
50.9%
(Missing)355
 
0.6%
ValueCountFrequency (%)
025728
45.9%
0.026855
 
0.1%
0.027614
 
< 0.1%
0.028410
 
< 0.1%
0.029215
 
< 0.1%
0.0321
 
< 0.1%
0.03110
 
< 0.1%
0.03143
 
< 0.1%
0.032226
 
< 0.1%
0.0334
 
< 0.1%
ValueCountFrequency (%)
57.37161
< 0.1%
38.50661
< 0.1%
36.691
< 0.1%
34.68781
< 0.1%
31.91681
< 0.1%
30.05061
< 0.1%
29.54461
< 0.1%
28.47261
< 0.1%
27.5861
< 0.1%
27.48381
< 0.1%

form_field4
Real number (ℝ≥0)

ZEROS

Distinct2927
Distinct (%)5.3%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.8519789307
Minimum0
Maximum91.6722
Zeros47900
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:35.260864image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.32664
Maximum91.6722
Range91.6722
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.157692009
Coefficient of variation (CV)3.706302933
Kurtosis45.48865411
Mean0.8519789307
Median Absolute Deviation (MAD)0
Skewness5.427309707
Sum47408.3676
Variance9.971018827
MonotonicityNot monotonic
2022-10-20T14:55:36.442868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047900
85.5%
13.779645
 
1.2%
1.0404139
 
0.2%
12.4272117
 
0.2%
0.9116
 
0.2%
0.4032100
 
0.2%
0.804698
 
0.2%
15.433291
 
0.2%
0.637288
 
0.2%
0.500471
 
0.1%
Other values (2917)6280
 
11.2%
(Missing)355
 
0.6%
ValueCountFrequency (%)
047900
85.5%
0.4032100
 
0.2%
0.41465
 
0.1%
0.424855
 
0.1%
0.437469
 
0.1%
0.4566
 
0.1%
0.464450
 
0.1%
0.480663
 
0.1%
0.500471
 
0.1%
0.520253
 
0.1%
ValueCountFrequency (%)
91.67221
 
< 0.1%
67.10041
 
< 0.1%
46.35721
 
< 0.1%
46.18261
 
< 0.1%
43.52941
 
< 0.1%
42.74821
 
< 0.1%
41.9581
 
< 0.1%
41.33523
< 0.1%
40.81141
 
< 0.1%
39.98343
< 0.1%

form_field5
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2991
Distinct (%)5.4%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.956316762
Minimum0
Maximum407.7486
Zeros50322
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:36.839638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.9764
Maximum407.7486
Range407.7486
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.5123958
Coefficient of variation (CV)5.373565267
Kurtosis173.9818866
Mean1.956316762
Median Absolute Deviation (MAD)0
Skewness10.46519156
Sum108859.2462
Variance110.5104655
MonotonicityNot monotonic
2022-10-20T14:55:37.178638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
050322
89.9%
12.7188160
 
0.3%
14.2452121
 
0.2%
25.437682
 
0.1%
0.966647
 
0.1%
0.482447
 
0.1%
28.492241
 
0.1%
0.979235
 
0.1%
1.488632
 
0.1%
1.247430
 
0.1%
Other values (2981)4728
 
8.4%
(Missing)355
 
0.6%
ValueCountFrequency (%)
050322
89.9%
0.24125
 
< 0.1%
0.24842
 
< 0.1%
0.25562
 
< 0.1%
0.26282
 
< 0.1%
0.272
 
< 0.1%
0.2792
 
< 0.1%
0.28982
 
< 0.1%
0.30061
 
< 0.1%
0.31141
 
< 0.1%
ValueCountFrequency (%)
407.74861
< 0.1%
322.69861
< 0.1%
312.19021
< 0.1%
248.54041
< 0.1%
238.051
< 0.1%
235.04041
< 0.1%
234.97561
< 0.1%
232.13881
< 0.1%
228.77461
< 0.1%
224.9371
< 0.1%

form_field6
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct5846
Distinct (%)13.7%
Missing13360
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean624447.9244
Minimum0
Maximum53135455
Zeros7454
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:37.700633image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114004
median115533
Q3525928
95-th percentile3083992
Maximum53135455
Range53135455
Interquartile range (IQR)511924

Descriptive statistics

Standard deviation1433421.545
Coefficient of variation (CV)2.295502136
Kurtosis87.67809769
Mean624447.9244
Median Absolute Deviation (MAD)115533
Skewness6.203867089
Sum2.66264595 × 1010
Variance2.054697325 × 1012
MonotonicityNot monotonic
2022-10-20T14:55:38.039634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07454
 
13.3%
1929441670
 
3.0%
1155331009
 
1.8%
385499687
 
1.2%
770998456
 
0.8%
1927495354
 
0.6%
963942318
 
0.6%
1156497313
 
0.6%
578443307
 
0.5%
394835276
 
0.5%
Other values (5836)29796
53.2%
(Missing)13360
23.9%
ValueCountFrequency (%)
07454
13.3%
389141
 
0.3%
778120
 
0.2%
116795
 
0.2%
1556111
 
0.2%
194590
 
0.2%
233486
 
0.2%
2723104
 
0.2%
311286
 
0.2%
350184
 
0.1%
ValueCountFrequency (%)
531354551
< 0.1%
341833751
< 0.1%
332178771
< 0.1%
285269261
< 0.1%
211627671
< 0.1%
202027151
< 0.1%
192749501
< 0.1%
192687261
< 0.1%
192426631
< 0.1%
188587201
< 0.1%

form_field7
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct23199
Distinct (%)45.6%
Missing5163
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean6865210.385
Minimum0
Maximum2158794400
Zeros2083
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:38.635633image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10892
Q1686974
median2704328
Q36993831
95-th percentile25100614
Maximum2158794400
Range2158794400
Interquartile range (IQR)6306857

Descriptive statistics

Standard deviation19127287.28
Coefficient of variation (CV)2.786118154
Kurtosis3351.298103
Mean6865210.385
Median Absolute Deviation (MAD)2415301
Skewness36.55604546
Sum3.490067003 × 1011
Variance3.658531188 × 1014
MonotonicityNot monotonic
2022-10-20T14:55:38.925207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02083
 
3.7%
192944335
 
0.6%
115533299
 
0.5%
1927495253
 
0.5%
770998240
 
0.4%
3854990218
 
0.4%
5782485208
 
0.4%
385499207
 
0.4%
1156497205
 
0.4%
7709980191
 
0.3%
Other values (23189)46598
83.2%
(Missing)5163
 
9.2%
ValueCountFrequency (%)
02083
3.7%
38935
 
0.1%
77815
 
< 0.1%
116719
 
< 0.1%
155616
 
< 0.1%
194516
 
< 0.1%
233416
 
< 0.1%
272320
 
< 0.1%
311218
 
< 0.1%
350111
 
< 0.1%
ValueCountFrequency (%)
21587944001
 
< 0.1%
8112318811
 
< 0.1%
7497955551
 
< 0.1%
5782485002
< 0.1%
4862414421
 
< 0.1%
4547600611
 
< 0.1%
3855060021
 
< 0.1%
3854990003
< 0.1%
3811402551
 
< 0.1%
3647975871
 
< 0.1%

form_field8
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct12820
Distinct (%)30.1%
Missing13360
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean2626690.178
Minimum0
Maximum103739687
Zeros1772
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:39.431225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3890
Q1192944
median963942
Q33751516
95-th percentile9984463
Maximum103739687
Range103739687
Interquartile range (IQR)3558572

Descriptive statistics

Standard deviation3927354.753
Coefficient of variation (CV)1.495172437
Kurtosis41.46157334
Mean2626690.178
Median Absolute Deviation (MAD)917651
Skewness3.935070239
Sum1.120020692 × 1011
Variance1.542411535 × 1013
MonotonicityNot monotonic
2022-10-20T14:55:39.740215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01772
 
3.2%
192944663
 
1.2%
770998526
 
0.9%
1927495452
 
0.8%
385499438
 
0.8%
115533400
 
0.7%
1156497397
 
0.7%
5782485337
 
0.6%
3854990329
 
0.6%
578443308
 
0.5%
Other values (12810)37018
66.1%
(Missing)13360
 
23.9%
ValueCountFrequency (%)
01772
3.2%
38948
 
0.1%
77840
 
0.1%
116737
 
0.1%
155645
 
0.1%
194538
 
0.1%
233438
 
0.1%
272347
 
0.1%
311232
 
0.1%
350123
 
< 0.1%
ValueCountFrequency (%)
1037396871
< 0.1%
1022937741
< 0.1%
707579331
< 0.1%
629899921
< 0.1%
615876471
< 0.1%
609201231
< 0.1%
597523451
< 0.1%
589420581
< 0.1%
587498921
< 0.1%
552041571
< 0.1%

form_field9
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct22650
Distinct (%)47.2%
Missing8008
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean13160015.44
Minimum0
Maximum320053251
Zeros246
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:40.316056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile154044
Q11368502
median5506295
Q316945520.75
95-th percentile51143911.15
Maximum320053251
Range320053251
Interquartile range (IQR)15577018.75

Descriptive statistics

Standard deviation19779632.55
Coefficient of variation (CV)1.503009829
Kurtosis21.12006954
Mean13160015.44
Median Absolute Deviation (MAD)4982895.5
Skewness3.503331255
Sum6.315754609 × 1011
Variance3.912338638 × 1014
MonotonicityNot monotonic
2022-10-20T14:55:40.623056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115533846
 
1.5%
192944678
 
1.2%
385499388
 
0.7%
96472283
 
0.5%
308477265
 
0.5%
578443256
 
0.5%
77022254
 
0.5%
231455250
 
0.4%
0246
 
0.4%
770998218
 
0.4%
Other values (22640)44308
79.1%
(Missing)8008
 
14.3%
ValueCountFrequency (%)
0246
0.4%
3891
 
< 0.1%
7781
 
< 0.1%
11671
 
< 0.1%
19455
 
< 0.1%
23341
 
< 0.1%
58352
 
< 0.1%
66131
 
< 0.1%
147821
 
< 0.1%
159491
 
< 0.1%
ValueCountFrequency (%)
3200532511
< 0.1%
3186579081
< 0.1%
3129734511
< 0.1%
2836265131
< 0.1%
2731849751
< 0.1%
2630258511
< 0.1%
2621420431
< 0.1%
2477548781
< 0.1%
2443725231
< 0.1%
2395699291
< 0.1%

form_field10
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct30942
Distinct (%)55.6%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean11855849.97
Minimum0
Maximum2191361480
Zeros7190
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:40.988902image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1450073
median3707559
Q313261010
95-th percentile48278867.8
Maximum2191361480
Range2191361480
Interquartile range (IQR)12810937

Descriptive statistics

Standard deviation26694592.88
Coefficient of variation (CV)2.251596717
Kurtosis981.2401314
Mean11855849.97
Median Absolute Deviation (MAD)3704447
Skewness18.00742293
Sum6.597187718 × 1011
Variance7.126012892 × 1014
MonotonicityNot monotonic
2022-10-20T14:55:41.291905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07190
 
12.8%
115533184
 
0.3%
192944153
 
0.3%
7702253
 
0.1%
38549953
 
0.1%
77099843
 
0.1%
3851142
 
0.1%
30847741
 
0.1%
57844336
 
0.1%
15404435
 
0.1%
Other values (30932)47815
85.4%
(Missing)355
 
0.6%
ValueCountFrequency (%)
07190
12.8%
38934
 
0.1%
77819
 
< 0.1%
116717
 
< 0.1%
155613
 
< 0.1%
194517
 
< 0.1%
233414
 
< 0.1%
272319
 
< 0.1%
311217
 
< 0.1%
350115
 
< 0.1%
ValueCountFrequency (%)
21913614801
< 0.1%
11846485411
< 0.1%
8773793861
< 0.1%
8527922521
< 0.1%
7841209151
< 0.1%
7594330301
< 0.1%
7195333001
< 0.1%
6404192581
< 0.1%
5928585621
< 0.1%
5241732211
< 0.1%

form_field11
Real number (ℝ≥0)

MISSING

Distinct9508
Distinct (%)38.7%
Missing31421
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean2054714.76
Minimum0
Maximum170742992
Zeros58
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:41.636132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38122
Q1217256.5
median698644
Q31964839
95-th percentile8090033
Maximum170742992
Range170742992
Interquartile range (IQR)1747582.5

Descriptive statistics

Standard deviation4912980.201
Coefficient of variation (CV)2.391076512
Kurtosis166.2331512
Mean2054714.76
Median Absolute Deviation (MAD)585834
Skewness9.633062256
Sum5.050283409 × 1010
Variance2.413737446 × 1013
MonotonicityNot monotonic
2022-10-20T14:55:41.941129image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058
 
0.1%
2878651
 
0.1%
3851147
 
0.1%
1945043
 
0.1%
5796139
 
0.1%
7702234
 
0.1%
9647231
 
0.1%
2489629
 
0.1%
3073129
 
0.1%
3578828
 
0.1%
Other values (9498)24190
43.2%
(Missing)31421
56.1%
ValueCountFrequency (%)
058
0.1%
3893
 
< 0.1%
7782
 
< 0.1%
11673
 
< 0.1%
19454
 
< 0.1%
23341
 
< 0.1%
27231
 
< 0.1%
35013
 
< 0.1%
38904
 
< 0.1%
42795
 
< 0.1%
ValueCountFrequency (%)
1707429921
< 0.1%
1286446341
< 0.1%
1211248751
< 0.1%
1088246951
< 0.1%
977681481
< 0.1%
944103001
< 0.1%
907330831
< 0.1%
856185111
< 0.1%
848751321
< 0.1%
840792381
< 0.1%

form_field12
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct16778
Distinct (%)36.4%
Missing9895
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2771112.63
Minimum0
Maximum124043931
Zeros3583
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:42.372387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1275801
median1163110
Q33360182
95-th percentile10771721.2
Maximum124043931
Range124043931
Interquartile range (IQR)3084381

Descriptive statistics

Standard deviation4544838.301
Coefficient of variation (CV)1.640077076
Kurtosis45.78285755
Mean2771112.63
Median Absolute Deviation (MAD)1056913
Skewness4.73446183
Sum1.277621478 × 1011
Variance2.065555518 × 1013
MonotonicityNot monotonic
2022-10-20T14:55:42.668387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03583
 
6.4%
10697533
 
0.1%
38932
 
0.1%
311232
 
0.1%
2878631
 
0.1%
19294429
 
0.1%
77829
 
0.1%
1517127
 
< 0.1%
3812227
 
< 0.1%
272327
 
< 0.1%
Other values (16768)42255
75.5%
(Missing)9895
 
17.7%
ValueCountFrequency (%)
03583
6.4%
38932
 
0.1%
77829
 
0.1%
116726
 
< 0.1%
155619
 
< 0.1%
194518
 
< 0.1%
233415
 
< 0.1%
272327
 
< 0.1%
311232
 
0.1%
350120
 
< 0.1%
ValueCountFrequency (%)
1240439311
< 0.1%
1003553871
< 0.1%
931487731
< 0.1%
773635421
< 0.1%
736890481
< 0.1%
728966551
< 0.1%
676404871
< 0.1%
674588241
< 0.1%
667189461
< 0.1%
631771011
< 0.1%

form_field13
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct21960
Distinct (%)43.8%
Missing5889
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean6009944.124
Minimum0
Maximum2457824146
Zeros9016
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:42.991226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1192166
median1605792
Q35593625.5
95-th percentile24178684
Maximum2457824146
Range2457824146
Interquartile range (IQR)5401459.5

Descriptive statistics

Standard deviation23358934.08
Coefficient of variation (CV)3.88671402
Kurtosis4860.848413
Mean6009944.124
Median Absolute Deviation (MAD)1605792
Skewness53.66765836
Sum3.0116431 × 1011
Variance5.456398015 × 1014
MonotonicityNot monotonic
2022-10-20T14:55:43.302231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09016
 
16.1%
311226
 
< 0.1%
3851124
 
< 0.1%
11553323
 
< 0.1%
46252122
 
< 0.1%
23145521
 
< 0.1%
2139520
 
< 0.1%
5796120
 
< 0.1%
350119
 
< 0.1%
19294417
 
< 0.1%
Other values (21950)40903
73.0%
(Missing)5889
 
10.5%
ValueCountFrequency (%)
09016
16.1%
38913
 
< 0.1%
7786
 
< 0.1%
116710
 
< 0.1%
15563
 
< 0.1%
19457
 
< 0.1%
23348
 
< 0.1%
27239
 
< 0.1%
311226
 
< 0.1%
350119
 
< 0.1%
ValueCountFrequency (%)
24578241461
< 0.1%
23574866531
< 0.1%
13966173641
< 0.1%
9260709051
< 0.1%
8106942831
< 0.1%
6626984551
< 0.1%
5782621151
< 0.1%
5156428401
< 0.1%
5104096231
< 0.1%
5037939001
< 0.1%

form_field14
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct1237
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69148750.5
Minimum0
Maximum3.854989996 × 1011
Zeros1446
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:43.656654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7937934
Q116576457
median28141427
Q348187375
95-th percentile96375139
Maximum3.854989996 × 1011
Range3.854989996 × 1011
Interquartile range (IQR)31610918

Descriptive statistics

Standard deviation2713995027
Coefficient of variation (CV)39.24864885
Kurtosis15527.39332
Mean69148750.5
Median Absolute Deviation (MAD)11564970
Skewness118.5474777
Sum3.872330028 × 1012
Variance7.365769006 × 1018
MonotonicityNot monotonic
2022-10-20T14:55:43.972655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
481873755021
 
9.0%
346949105000
 
8.9%
165764574427
 
7.9%
219734434124
 
7.4%
281414274087
 
7.3%
115649703111
 
5.6%
385499002481
 
4.4%
770998002329
 
4.2%
96374751791
 
3.2%
963751391720
 
3.1%
Other values (1227)21909
39.1%
ValueCountFrequency (%)
01446
2.6%
38928
 
0.1%
116748
 
0.1%
15561
 
< 0.1%
42791
 
< 0.1%
77801
 
< 0.1%
97251
 
< 0.1%
116701
 
< 0.1%
124482
 
< 0.1%
140041
 
< 0.1%
ValueCountFrequency (%)
3.854989996 × 10112
< 0.1%
1.927495 × 10111
< 0.1%
1.662112941 × 10111
< 0.1%
1.5421502 × 10111
< 0.1%
1.333055542 × 10111
< 0.1%
5.782485 × 10101
< 0.1%
5.2427864 × 10101
< 0.1%
3.85499 × 10101
< 0.1%
2.8912425 × 10101
< 0.1%
1.06012225 × 10101
< 0.1%

form_field15
Real number (ℝ≥0)

MISSING

Distinct23783
Distinct (%)70.9%
Missing22475
Missing (%)40.1%
Infinite0
Infinite (%)0.0%
Mean114504142.6
Minimum539543
Maximum3456118736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:44.599918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum539543
5-th percentile18024781.8
Q150076359
median84424281
Q3142873476
95-th percentile298761725
Maximum3456118736
Range3455579193
Interquartile range (IQR)92797117

Descriptive statistics

Standard deviation115384236
Coefficient of variation (CV)1.007686127
Kurtosis76.52747192
Mean114504142.6
Median Absolute Deviation (MAD)41595381
Skewness5.533132258
Sum3.838751381 × 1012
Variance1.331352192 × 1016
MonotonicityNot monotonic
2022-10-20T14:55:44.918568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11564970075
 
0.1%
13492465074
 
0.1%
7709980065
 
0.1%
5396986063
 
0.1%
9637475063
 
0.1%
4818737563
 
0.1%
17347455060
 
0.1%
8288228557
 
0.1%
5782485057
 
0.1%
15998208556
 
0.1%
Other values (23773)32892
58.7%
(Missing)22475
40.1%
ValueCountFrequency (%)
5395431
< 0.1%
9518831
< 0.1%
14906481
< 0.1%
15011511
< 0.1%
18127401
< 0.1%
18302451
< 0.1%
18516401
< 0.1%
18920961
< 0.1%
18994871
< 0.1%
20282461
< 0.1%
ValueCountFrequency (%)
34561187361
< 0.1%
30424401871
< 0.1%
29267500311
< 0.1%
25415984081
< 0.1%
23220199671
< 0.1%
17540204501
< 0.1%
16913770571
< 0.1%
16708378571
< 0.1%
16467537001
< 0.1%
15982788541
< 0.1%

form_field16
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing13036
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean0.2304254725
Minimum0
Maximum11
Zeros35943
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:45.171122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6218332772
Coefficient of variation (CV)2.6986308
Kurtosis24.49731266
Mean0.2304254725
Median Absolute Deviation (MAD)0
Skewness3.999874977
Sum9900
Variance0.3866766246
MonotonicityNot monotonic
2022-10-20T14:55:45.366122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
035943
64.2%
15123
 
9.1%
21290
 
2.3%
3383
 
0.7%
4139
 
0.2%
550
 
0.1%
623
 
< 0.1%
78
 
< 0.1%
82
 
< 0.1%
112
 
< 0.1%
(Missing)13036
 
23.3%
ValueCountFrequency (%)
035943
64.2%
15123
 
9.1%
21290
 
2.3%
3383
 
0.7%
4139
 
0.2%
550
 
0.1%
623
 
< 0.1%
78
 
< 0.1%
82
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
112
 
< 0.1%
101
 
< 0.1%
82
 
< 0.1%
78
 
< 0.1%
623
 
< 0.1%
550
 
0.1%
4139
 
0.2%
3383
 
0.7%
21290
 
2.3%
15123
9.1%

form_field17
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing11151
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean0.2656915427
Minimum0
Maximum21
Zeros36859
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:45.840856image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7201984266
Coefficient of variation (CV)2.710656196
Kurtosis50.98296348
Mean0.2656915427
Median Absolute Deviation (MAD)0
Skewness5.044449793
Sum11916
Variance0.5186857737
MonotonicityNot monotonic
2022-10-20T14:55:46.154411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
036859
65.8%
15653
 
10.1%
21488
 
2.7%
3489
 
0.9%
4193
 
0.3%
587
 
0.2%
629
 
0.1%
723
 
< 0.1%
811
 
< 0.1%
96
 
< 0.1%
Other values (5)11
 
< 0.1%
(Missing)11151
 
19.9%
ValueCountFrequency (%)
036859
65.8%
15653
 
10.1%
21488
 
2.7%
3489
 
0.9%
4193
 
0.3%
587
 
0.2%
629
 
0.1%
723
 
< 0.1%
811
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
161
 
< 0.1%
132
 
< 0.1%
113
 
< 0.1%
104
 
< 0.1%
96
 
< 0.1%
811
 
< 0.1%
723
 
< 0.1%
629
 
0.1%
587
0.2%

form_field18
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing10402
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean0.2718320979
Minimum0
Maximum21
Zeros37265
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:46.370408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7254342304
Coefficient of variation (CV)2.668684957
Kurtosis49.52661382
Mean0.2718320979
Median Absolute Deviation (MAD)0
Skewness4.96600487
Sum12395
Variance0.5262548226
MonotonicityNot monotonic
2022-10-20T14:55:46.564409image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
037265
66.5%
15909
 
10.6%
21546
 
2.8%
3508
 
0.9%
4200
 
0.4%
585
 
0.2%
633
 
0.1%
724
 
< 0.1%
811
 
< 0.1%
96
 
< 0.1%
Other values (6)11
 
< 0.1%
(Missing)10402
 
18.6%
ValueCountFrequency (%)
037265
66.5%
15909
 
10.6%
21546
 
2.8%
3508
 
0.9%
4200
 
0.4%
585
 
0.2%
633
 
0.1%
724
 
< 0.1%
811
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
161
 
< 0.1%
132
 
< 0.1%
121
 
< 0.1%
112
 
< 0.1%
104
 
< 0.1%
96
 
< 0.1%
811
 
< 0.1%
724
< 0.1%
633
0.1%

form_field19
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9487999143
Minimum0
Maximum28
Zeros33598
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:46.806951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.736454134
Coefficient of variation (CV)1.830158401
Kurtosis18.23815699
Mean0.9487999143
Median Absolute Deviation (MAD)0
Skewness3.327069868
Sum53129
Variance3.015272959
MonotonicityNot monotonic
2022-10-20T14:55:47.017952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
033598
60.0%
110233
 
18.3%
25108
 
9.1%
32865
 
5.1%
41615
 
2.9%
5956
 
1.7%
6589
 
1.1%
7371
 
0.7%
8217
 
0.4%
9160
 
0.3%
Other values (16)284
 
0.5%
ValueCountFrequency (%)
033598
60.0%
110233
 
18.3%
25108
 
9.1%
32865
 
5.1%
41615
 
2.9%
5956
 
1.7%
6589
 
1.1%
7371
 
0.7%
8217
 
0.4%
9160
 
0.3%
ValueCountFrequency (%)
282
 
< 0.1%
251
 
< 0.1%
241
 
< 0.1%
221
 
< 0.1%
214
< 0.1%
206
< 0.1%
193
 
< 0.1%
184
< 0.1%
178
< 0.1%
165
< 0.1%

form_field20
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.031593135
Minimum0
Maximum29
Zeros31471
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:47.272952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum29
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.785121594
Coefficient of variation (CV)1.730451215
Kurtosis16.7830518
Mean1.031593135
Median Absolute Deviation (MAD)0
Skewness3.174998642
Sum57403
Variance3.186659106
MonotonicityNot monotonic
2022-10-20T14:55:47.509948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
031471
56.2%
111000
 
19.6%
25569
 
9.9%
33030
 
5.4%
41791
 
3.2%
51040
 
1.9%
6630
 
1.1%
7394
 
0.7%
8248
 
0.4%
9169
 
0.3%
Other values (17)303
 
0.5%
(Missing)355
 
0.6%
ValueCountFrequency (%)
031471
56.2%
111000
 
19.6%
25569
 
9.9%
33030
 
5.4%
41791
 
3.2%
51040
 
1.9%
6630
 
1.1%
7394
 
0.7%
8248
 
0.4%
9169
 
0.3%
ValueCountFrequency (%)
291
 
< 0.1%
281
 
< 0.1%
251
 
< 0.1%
241
 
< 0.1%
221
 
< 0.1%
214
< 0.1%
206
< 0.1%
194
< 0.1%
184
< 0.1%
177
< 0.1%

form_field21
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct11101
Distinct (%)27.7%
Missing15854
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean86.50037999
Minimum0.255
Maximum1957.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:48.026131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.255
5-th percentile7.83
Q140.305
median89.1675
Q3129.8925
95-th percentile155.25
Maximum1957.875
Range1957.62
Interquartile range (IQR)89.5875

Descriptive statistics

Standard deviation53.44552806
Coefficient of variation (CV)0.6178646622
Kurtosis43.54744654
Mean86.50037999
Median Absolute Deviation (MAD)44.0475
Skewness1.714099871
Sum3472644.255
Variance2856.424469
MonotonicityNot monotonic
2022-10-20T14:55:48.322127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15098
 
0.2%
37.539
 
0.1%
148.536
 
0.1%
14736
 
0.1%
14133
 
0.1%
142.531
 
0.1%
13828
 
0.1%
136.528
 
0.1%
13527
 
< 0.1%
145.527
 
< 0.1%
Other values (11091)39763
71.0%
(Missing)15854
 
28.3%
ValueCountFrequency (%)
0.2552
< 0.1%
0.3753
< 0.1%
0.392
< 0.1%
0.4051
 
< 0.1%
0.4353
< 0.1%
0.452
< 0.1%
0.4651
 
< 0.1%
0.511
 
< 0.1%
0.571
 
< 0.1%
0.5851
 
< 0.1%
ValueCountFrequency (%)
1957.8751
< 0.1%
10921
< 0.1%
908.251
< 0.1%
708.121
< 0.1%
626.071
< 0.1%
610.81
< 0.1%
582.61
< 0.1%
567.2551
< 0.1%
548.191
< 0.1%
5341
< 0.1%

form_field22
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct23583
Distinct (%)66.2%
Missing20400
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean6628.316381
Minimum0
Maximum97200
Zeros5205
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:48.702801image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11068.6675
median5976.225
Q311354.17125
95-th percentile15110.30625
Maximum97200
Range97200
Interquartile range (IQR)10285.50375

Descriptive statistics

Standard deviation5661.059297
Coefficient of variation (CV)0.8540719802
Kurtosis3.4540262
Mean6628.316381
Median Absolute Deviation (MAD)5087.7375
Skewness0.7990557295
Sum235968063.2
Variance32047592.36
MonotonicityNot monotonic
2022-10-20T14:55:48.996462image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05205
 
9.3%
15000153
 
0.3%
375039
 
0.1%
1485030
 
0.1%
1470029
 
0.1%
1320026
 
< 0.1%
1395025
 
< 0.1%
1380024
 
< 0.1%
1200024
 
< 0.1%
1230024
 
< 0.1%
Other values (23573)30021
53.6%
(Missing)20400
36.4%
ValueCountFrequency (%)
05205
9.3%
0.0451
 
< 0.1%
0.512
 
< 0.1%
0.7951
 
< 0.1%
0.9151
 
< 0.1%
0.9451
 
< 0.1%
1.0051
 
< 0.1%
1.051
 
< 0.1%
1.111
 
< 0.1%
1.9351
 
< 0.1%
ValueCountFrequency (%)
972001
< 0.1%
739561
< 0.1%
62606.251
< 0.1%
620251
< 0.1%
582601
< 0.1%
54819.2251
< 0.1%
54409.9951
< 0.1%
533401
< 0.1%
52639.9951
< 0.1%
515371
< 0.1%

form_field23
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct16619
Distinct (%)59.6%
Missing28123
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean6452.875072
Minimum0
Maximum97200
Zeros4785
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:49.351454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1797.145
median5548.935
Q311280
95-th percentile15144.78
Maximum97200
Range97200
Interquartile range (IQR)10482.855

Descriptive statistics

Standard deviation5739.968774
Coefficient of variation (CV)0.8895211376
Kurtosis4.110465526
Mean6452.875072
Median Absolute Deviation (MAD)5093.43
Skewness0.9010395197
Sum179886798.4
Variance32947241.53
MonotonicityNot monotonic
2022-10-20T14:55:49.635458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04785
 
8.5%
15000119
 
0.2%
375052
 
0.1%
1470032
 
0.1%
1440026
 
< 0.1%
1200026
 
< 0.1%
1380023
 
< 0.1%
1410023
 
< 0.1%
1350023
 
< 0.1%
1485022
 
< 0.1%
Other values (16609)22746
40.6%
(Missing)28123
50.2%
ValueCountFrequency (%)
04785
8.5%
0.0451
 
< 0.1%
0.6451
 
< 0.1%
0.7951
 
< 0.1%
1.0651
 
< 0.1%
1.111
 
< 0.1%
1.2451
 
< 0.1%
2.11
 
< 0.1%
2.41
 
< 0.1%
2.5051
 
< 0.1%
ValueCountFrequency (%)
972001
< 0.1%
720601
< 0.1%
62606.251
< 0.1%
620251
< 0.1%
582601
< 0.1%
54819.2251
< 0.1%
533401
< 0.1%
52639.9951
< 0.1%
515371
< 0.1%
515101
< 0.1%

form_field24
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct12571
Distinct (%)29.4%
Missing13297
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean104.558516
Minimum0
Maximum31863.75
Zeros3262
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T14:55:49.940457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.865
median60.66
Q3114.7125
95-th percentile198.627
Maximum31863.75
Range31863.75
Interquartile range (IQR)99.8475

Descriptive statistics

Standard deviation436.670719
Coefficient of variation (CV)4.176328582
Kurtosis1522.146068
Mean104.558516
Median Absolute Deviation (MAD)48.63
Skewness30.44013754
Sum4464962.31
Variance190681.3168
MonotonicityNot monotonic
2022-10-20T14:55:50.217458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03262
 
5.8%
15044
 
0.1%
0.0329
 
0.1%
0.04528
 
0.1%
0.13527
 
< 0.1%
0.1223
 
< 0.1%
0.10523
 
< 0.1%
0.16522
 
< 0.1%
0.01522
 
< 0.1%
14422
 
< 0.1%
Other values (12561)39201
70.0%
(Missing)13297
 
23.7%
ValueCountFrequency (%)
03262
5.8%
0.01522
 
< 0.1%
0.0329
 
0.1%
0.04528
 
0.1%
0.0619
 
< 0.1%
0.07520
 
< 0.1%
0.0922
 
< 0.1%
0.10523
 
< 0.1%
0.1223
 
< 0.1%
0.13527
 
< 0.1%
ValueCountFrequency (%)
31863.751
< 0.1%
30227.5051
< 0.1%
16089.751
< 0.1%
15007.951
< 0.1%
148561
< 0.1%
14220.4951
< 0.1%
13630.9951
< 0.1%
13047.031
< 0.1%
13019.71
< 0.1%
13011.4951
< 0.1%

Interactions

2022-10-20T14:54:38.971184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:51:55.246000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:06.045001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:13.271554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:20.843279image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:27.818069image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:34.657453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:41.948298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:48.711471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:55.892608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:03.184887image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:09.516822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:16.207238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:23.687675image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:30.250293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:37.455866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:44.255700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:50.646663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:58.353925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:04.696707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:11.252366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:18.586228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:25.620664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:32.485173image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:39.243191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:51:56.053189image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:06.345998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:13.550555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:21.083284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:28.132067image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:34.906452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:42.235298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:48.973473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:56.163609image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:03.442880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:09.783826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:16.561748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:23.938673image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:30.538287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:37.714868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:44.500247image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:51.982663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:58.604463image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:04.950713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:11.514363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:18.877230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:25.839660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:32.699839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:39.526193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:51:56.579741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:06.647661image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:13.846554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-10-20T14:54:16.742642image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:23.918483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:31.201173image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:37.097332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:44.755231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:04.287248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:11.854955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:18.674853image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:26.333419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:33.249893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:40.528299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:47.368923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:54.494340image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:01.809353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:08.229827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:14.895663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:22.305888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:28.907294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:36.084316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:42.925695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:49.314999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:57.025917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:03.396790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:10.042654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:17.018651image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:24.216486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:31.410168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:37.386336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:45.027222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:04.605418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:12.140959image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:18.951849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:26.598059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:33.544900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:40.799294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:47.635930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:54.769340image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:02.083343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:08.490831image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:15.177237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:22.569670image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:29.173294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:36.372313image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:43.188700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:49.573999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:57.289921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:03.658794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:10.272662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:17.289642image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:24.524128image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:31.628168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:37.689335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:45.379157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:05.000419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:12.438555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:19.241850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:26.875065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:33.828897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:41.081300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:47.916932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:55.052344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:02.378341image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:08.762826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:15.435238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:22.850664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:29.450294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:36.642870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:43.445700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:49.839002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:57.562917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:03.926790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:10.494730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:17.634645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:24.847127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:31.855172image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:38.041339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:45.655154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:05.288992image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:12.702557image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:19.533848image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:27.165058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:34.090900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:41.370294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:48.181928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:55.355615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:02.634880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:09.001823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:15.675237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:23.114669image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:29.705304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:36.924870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:43.716702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:50.088002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:57.824922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:04.178790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:10.695358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:17.949645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:25.118131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:32.056176image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:38.374336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:45.945149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:05.715002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:12.982550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:19.857855image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:27.494068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:34.380896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:41.659293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:48.441472image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:52:55.616613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:02.900880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:09.263827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:15.911238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:23.399665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:29.960297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:37.185875image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:43.983701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:50.365999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:53:58.080923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:04.429790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:10.971357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:18.174644image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:25.369664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:32.269167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:54:38.629184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2022-10-20T14:55:53.747340image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-10-20T14:55:54.376328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-10-20T14:55:54.992234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-10-20T14:55:55.712939image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-10-20T14:54:53.711254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-10-20T14:54:56.419142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-10-20T14:55:18.271723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-10-20T14:55:20.272557image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

Applicant_IDform_field1form_field2form_field3form_field4form_field5form_field6form_field7form_field8form_field9form_field10form_field11form_field12form_field13form_field14form_field15form_field16form_field17form_field18form_field19form_field20form_field21form_field22form_field23form_field24
0Apcnt_10000003436.00.285051.65600.00.00000.010689720.0252072.04272776.011333126.04397256.02301324.07875694.096375139112181765.01.01.01.03.03.0134.655NaNNaN134.655
1Apcnt_10000043456.00.674000.23420.00.00000.0898979.0497531.09073814.02533168.0244292.03982971.02141445.02814142745169902.01.01.01.02.02.0109.23011385.24014584.2986.685
2Apcnt_10000083276.00.538453.15100.06.2820NaN956940.0NaN192944.01079864.0NaNNaN0.01657645722452691.0NaNNaNNaN0.00.0NaNNaNNaNNaN
3Apcnt_10000123372.00.170050.50500.00.0000192166.03044703.0385499.03986472.03621979.0NaN771776.01186839.048187375136297820.00.00.00.01.01.0120.1208580.0000.0085.800
4Apcnt_10000163370.00.772701.10100.00.00001556.0214728.0214728.01284089.0361770.0396391.0818456.0511535.02814142715292757.00.00.00.03.03.0104.5358360.19010326.45115.335
5Apcnt_10000203724.0NaN0.00000.00.0000192944.09244585.06761209.067963357.032902009.0NaN976390.02114215.016576457NaN0.00.00.00.00.08.385NaNNaN4.845
6Apcnt_10000243350.00.242050.31320.02.8188NaN580388.0NaN96472.0580388.0631347.0NaN0.02197344391602498.0NaNNaNNaN0.00.0NaNNaNNaNNaN
7Apcnt_10000283416.00.870200.05700.00.000017505.0186331.0186331.01484813.0326760.050959.01284089.05633109.01156497018211813.00.00.00.01.01.0124.9808267.6557755.0082.680
8Apcnt_10000363376.00.291800.55860.00.000018283.01105149.018283.0115533.01557167.0752715.097639.0427511.011564970NaN0.00.00.01.02.0126.495NaNNaN126.495
9Apcnt_10000403310.00.243950.15620.00.0000NaN0.0NaNNaN0.0208115.0NaNNaN11564970NaNNaNNaNNaN0.00.0NaNNaNNaNNaN

Last rows

Applicant_IDform_field1form_field2form_field3form_field4form_field5form_field6form_field7form_field8form_field9form_field10form_field11form_field12form_field13form_field14form_field15form_field16form_field17form_field18form_field19form_field20form_field21form_field22form_field23form_field24
55990Apcnt_9999443600.00.503350.00000.00000.0755049.012006096.01927495.040139743.044192734.0NaN13006993.09823417.096375139196604490.00.00.00.02.03.0109.96511474.7153853.4188.815
55991Apcnt_999948NaN0.226700.00000.00000.0NaNNaNNaNNaN0.05994101.0NaNNaN9637475NaNNaNNaNNaN0.00.0NaNNaNNaNNaN
55992Apcnt_9999523504.00.390850.09800.00000.04279.0500254.080912.02819472.01004787.0NaN1173613.0634070.04818737580632309.00.01.01.04.04.0132.2559003.840NaN99.255
55993Apcnt_9999603556.00.693400.07360.00000.096472.03469491.03469491.028291192.021997172.0NaN2929170.01270085.02197344339441488.00.00.00.01.03.061.5757531.800318.7528.830
55994Apcnt_999964NaN0.014650.00000.00000.0NaNNaNNaNNaN0.0NaNNaNNaN34694910NaNNaNNaNNaN0.00.0NaNNaNNaNNaN
55995Apcnt_9999683740.00.017300.00000.00000.0770998.09637475.04047934.011641992.019910965.0NaN983003.025985589.04818737586615907.00.00.00.00.00.031.7401662.1500.0015.810
55996Apcnt_9999723360.02.011450.62520.00000.0NaN927765.0NaNNaN1849306.0571052.0NaN0.016576457NaNNaNNaN0.00.01.0NaN13350.000NaNNaN
55997Apcnt_9999803500.00.766400.00000.00000.0118645.03662435.03662435.03585024.0704090.0NaN2765401.04226874.02197344387508273.00.00.00.02.02.0119.5652206.95012690.00119.565
55998Apcnt_9999883280.00.052352.09162.22120.0NaN3458599.0NaN115533.03458599.0508812.0NaN0.03854990020238892.0NaNNaNNaN0.00.0NaNNaNNaNNaN
55999Apcnt_9999963522.00.469300.00000.00000.098806.02053920.0523983.014903368.05430440.0NaN8381783.05490346.02197344338370960.00.00.00.03.03.0116.4451680.0001680.0093.825